Forecasting of renewable power generation in European markets via long short-term memory neural networks
Lisansüstü Eğitim Enstitüsü, Bahçeşehir Üniversitesi, 2022
ALPER ÜNAL
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Characterization and modeling of negative-biastemperature instability in 40 NM CMOS technologythrough long short-term memory (LSTM) networks
Lisansüstü Eğitim Enstitüsü, İstanbul Teknik Üniversitesi, 2023
FİKRET BAŞAR GENCER
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Short term electrıcıty consumptıon forecastıng usıng long short-term memory cells
Enerji Enstitüsü, İstanbul Teknik Üniversitesi, 2019
ANIL TÜRKÜNOĞLU
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Electricity Price Forecasting Using Recurrent Neural Networks
ENERGIES, Vol. 11, No. 5, Mayıs 2018, ISSN: 1996-1073
UĞURLU UMUT,ÖKSÜZ İLKAY,TAŞ OKTAY
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Tissue based denoising for MR fingerprinting via long short-term memory networks
International Society for Magnetic Resonance in Medicine (ISMRM) 2020, Sydney/AVUSTRALYA, 4 Ağustos 2020
CRUZ GASTAO, KUESTNER THOMAS, ÖKSÜZ İLKAY, JAUBERT OLİVİER, FUİN NİCCOLO, KİNG ANDREW P., SCHNABEL JULİA A., BOTNAR RENE, PRİETO CLAUDİA
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Wide Area Measurement-based Transient Stability Prediction using Long Short-Term Memory Networks
2019 7th International Istanbul Smart Grids and Cities Congress and Fair (ICSG), 25 Nisan 2019, s. 159
SANER CAN BERK,KESİCİ MERT,MAHDİ MOHAMMED,YASLAN YUSUF,GENÇ VEYSEL MURAT İSTEMİHAN
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A LONG SHORT TERM MEMORY APPLICATION ON THE TURKISH INTRADAY ELECTRICITY PRICE FORECASTING
4th Global Business Research Congress, İstanbul/TÜRKİYE, Vol. 7, No. 1, 24 Mayıs 2018, s. 126-130
YORULMUŞ MUHAMMED HAKAN,UĞURLU UMUT,TAŞ OKTAY
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A LONG SHORT TERM MEMORY APPLICATION ON THE TURKISH INTRADAY ELECTRICITY PRICE FORECASTING
4th Global Business Research Congress, İstanbul/TÜRKİYE, Vol. 7, No. 1, 24 Mayıs 2018, s. 126-130
YORULMUŞ MUHAMMED HAKAN,UĞURLU UMUT,TAŞ OKTAY
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Surrogate Unsteady Aerodynamic Modeling with Autoencoders and Long-Short Term Memory Networks
2022 AIAA Scitech Forum, San Diego (Online)/AMERİKA BİRLEŞİK DEVLETLERİ, 3 Ocak 2022
TEKASLAN HÜSEYİN EMRE, DEMİROGLU YUSUF, NİKBAY MELİKE
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Grid Imbalance Prediction Using Particle Swarm Optimization and Neural Networks Artificial Intelligence for Knowledge Management, Energy, and Sustainability
2022, s. 87-101, Springer, Cham
DELİASLAN EREN, GÜVEN DENİZHAN, KAYALICA MEHMET ÖZGÜR, YURTSEVEN MUSTAFA BERKER
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On the Vision-Beam Aided Tracking for Wireless 5G-Beyond Networks Using Long Short-Term Memory with Soft Attention Mechanism
The European Journal of Research and Development, Vol. 2, Haziran 2022, ISSN: 2822-2296
SİNANİ NASİR, YILMAZ FERKAN
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Soil Moisture Prediction from Remote Sensing Images Coupled with Climate, Soil Texture and Topography via Deep Learning
REMOTE SENSING, Vol. 14, No. 21, Kasım 2022, s. 24, ISSN: 2072-4292
ÇELİK MEHMET FURKAN, IŞIK MUSTAFA SERKAN, YÜZÜGÜLLÜ ONUR, FAJRAOUİ NOURA, ERTEN ESRA
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Prediction of Downward Surface Solar Radiation Using Particle Swarm Optimization and Neural Networks Decision Making Using AI in Energy and Sustainability
2023, Springer
GÜVEN DENİZHAN, DELİASLAN EREN, YURTSEVEN MUSTAFA BERKER, KAYAKUTLU GÜLGÜN
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Gait Phase Recognition using Textile-based Sensor
2022 7th International Conference on Computer Science and Engineering (UBMK), Diyarbakır/TÜRKİYE, 14 Eylül 2022
ÖZLEM KADİR, KHALİLBAYLİ FİDAN, YILMAZ AYŞE FEYZA, TUNÇAY ATALAY ASLI, ATALAY ÖZGÜR, İNCE GÖKHAN
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Prediction of Downward Surface Solar Radiation Using Particle Swarm Optimization and Neural Networks Decision Making Using AI in Energy and Sustainability
2023, Springer
GÜVEN DENİZHAN, DELİASLAN EREN, YURTSEVEN MUSTAFA BERKER, KAYAKUTLU GÜLGÜN
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Modeling and Prediction of the Covid-19 Cases With Deep Assessment Methodology and Fractional Calculus
IEEE ACCESS, Vol. 8, Ocak 2020, ISSN: 2169-3536
KARAÇUHA KAMİL,TONTUŞ HACI ÖMER,ÖNAL TUĞRUL NİSA ÖZGE,KARAÇUHA ERTUĞRUL
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Wide Area Measurement-based Transient Stability Prediction using Long Short-Term Memory Networks
2019 7th International Istanbul Smart Grids and Cities Congress and Fair (ICSG), 25 Nisan 2019, s. 159
SANER CAN BERK,KESİCİ MERT,MAHDİ MOHAMMED,YASLAN YUSUF,GENÇ VEYSEL MURAT İSTEMİHAN
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On the Utilization of a Long Short-Term Memory Network (LSTM) For Predicting Groundwater Level Fluctuations
5th INTERNATIONAL CONGRESS ON ENGINEERING SCIENCES AND MULTIDISCIPLINARY APPROACHES, 25 Şubat 2023
EKMEKCİOĞLU ÖMER
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Grid Imbalance Prediction Using Particle Swarm Optimization and Neural Networks Artificial Intelligence for Knowledge Management, Energy, and Sustainability
2022, s. 87-101, Springer, Cham
DELİASLAN EREN, GÜVEN DENİZHAN, KAYALICA MEHMET ÖZGÜR, YURTSEVEN MUSTAFA BERKER
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Electricity Price Forecasting Using Recurrent Neural Networks
ENERGIES, Vol. 11, No. 5, Mayıs 2018, ISSN: 1996-1073
UĞURLU UMUT,ÖKSÜZ İLKAY,TAŞ OKTAY
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